A Study on the Parallelism of Synchronous Ranked Neural Networks in CUDA System

碩士 === 國立交通大學 === 電信工程研究所 === 100 === In this thesis, we using the compute unified device architecture (CUDA) which NVIDIA announced a graphic processor unit (GPU) computing architecture to simulate the feature that synchronous ranked neural network (SRNN) can be updated synchronously. And aim at th...

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Bibliographic Details
Main Authors: Chen, Hsing-Hao, 陳星豪
Other Authors: Tien, Po-Lung
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/75845188881895770189